app.py

import streamlit as st
import numpy as np
import openai
import pprint
from decimal import Decimal

from gtts import gTTS
from collections import Counter
from streamlit_chat import message

# db_modules
from modules.db_modules import get_db, put_item, get_item, get_lastest_item

from dotenv import dotenv_values
from bots.judgement_bot import debate_judgement
from collections import Counter
import time
from time import strftime
from time import localtime

from audiorecorder import audiorecorder

# modules
from modules.gpt_modules import gpt_call, gpt_call_context
#from modules.whisper_modules import transcribe

config = dotenv_values(".env")

openai.organization = config.get('OPENAI_ORGANIZATION')
openai.api_key = config.get('OPENAI_API_KEY')


#openai.organization = st.secrets['OPENAI_ORGANIZATION']
#openai.api_key = st.secrets['OPENAI_API_KEY']

#########################################################
# GET DB
#########################################################
dynamodb = get_db()


#########################################################
# Time Stamp
#########################################################
tm = time.localtime()
time_stamp = strftime('%Y-%m-%d %I:%M:%S %p', tm)


#########################################################
# Page Configurations
#########################################################
st.set_page_config(page_title="Streamlit App")

#########################################################
# Initialize session state variables
#########################################################
if "page" not in st.session_state:
    st.session_state.page = "Page 1"

if "topic" not in st.session_state:
    st.session_state.topic = "None"

if "user_id" not in st.session_state:
    st.session_state.user_id = ""

if "case1" not in st.session_state:
    st.session_state.case1 = ""

if "case2" not in st.session_state:
    st.session_state.case2 = ""

if "case3" not in st.session_state:
    st.session_state.case3 = ""

if "page2_tab" not in st.session_state:
    st.session_state.page2_tab = "tab1"

if "total_debate_history" not in st.session_state:
    st.session_state.total_debate_history = []

if "user_debate_history" not in st.session_state:
    st.session_state.user_debate_history = []

if "bot_debate_history" not in st.session_state:
    st.session_state.bot_debate_history = []

if "user_debate_time" not in st.session_state:
    st.session_state.user_debate_time = ""

if "pros_and_cons" not in st.session_state:
    st.session_state.pros_and_cons = ""

if "start_time" not in st.session_state:
    st.session_state.start_time = time.time()

if "end_time" not in st.session_state:
    st.session_state.end_time = time.time()

if "debate_time" not in st.session_state:
    st.session_state.debate_time = 0

if "pre_audio" not in st.session_state:
    st.session_state.pre_audio = np.array([])


# for db session number
if "session_num" not in st.session_state:
    st.session_state.session_num = 0


#########################################################
# Save function (placeholder)
#########################################################
def save_info(user_id):
    # You can add the code to save the submitted info (e.g., to a database)
    st.session_state.user_id = user_id

    print("User ID:", user_id)

# Session state
#session_state = SessionState.get(user_id="", openAI_token="", debate_theme="")
def write_info():
    st.write('You choose', st.session_state.topic_list)

# for callback when button is clicked
def page_1_2_controller():
    if st.session_state.user_id.strip() == "":
        st.session_state.page = "Page 1"
        st.warning('Please fill in all the required fields.')
    else:
        st.session_state.page = "Page 2"
        print("save info")

        save_info(st.session_state.user_id)
        

        #########################################################
        # Session Update
        #########################################################
        debate_setting = get_lastest_item(
            table=dynamodb.Table('DEBO_debate_setting'),
            name_of_partition_key="user_id",
            value_of_partition_key=st.session_state.user_id,
            limit_num=1
        )
        # Session이 없다면, 0으로 초기화
        if debate_setting == []:
            st.session_state.session_num = 0
        # User의 이전 기록에서 Session이 있다면, Session Number를 가져오고 갱신함
        else:
            st.session_state.session_num = debate_setting[0]['session_num']

def page_2_3_controller():
    st.session_state.page = "Page 3"

def page2_tab_controller():
    st.session_state.page2_tab = "tab2"

def page_3_4_controller():
    st.session_state.page = "Page 4"

def page_4_5_controller():
    st.session_state.page = "Page 5"

def page_5_6_controller():
    st.session_state.page = "Page 6"

def page_6_7_controller():
    st.session_state.page = "Page 7"

def page_2_7_controller():
    st.session_state.page = "Page 7"

#########################################################
# Page 1
#########################################################
def page1():

    # for local variables
    topic_list = []

    st.header('User Info')
    st.session_state.user_id = st.text_input(
        label="User ID",
        max_chars=100,
        placeholder="Enter user ID"
        )
    
    if st.button(
        label='Submit',
        on_click=page_1_2_controller
        ):
        st.write('Information submitted successfully.')
        # You can add a function here to save the submitted info

#########################################################
# Page 2
#########################################################
def page2():
    st.header("Choose Option")
    option_result = st.selectbox("Choose your option", ["Total Debate", "Evaluation Only & Analyzing Utterances"])

    # add controller
    if option_result == "Total Debate":
        page_control_func = page_2_3_controller
    elif option_result == "Evaluation Only & Analyzing Utterances":
        page_control_func = page_2_7_controller

    st.button(
        label='Submit',
        on_click=page_control_func
    )
        

#########################################################
# Page 3
#########################################################
def page3():
    debate_history = get_lastest_item(
            table=dynamodb.Table('DEBO_debate_setting'),
            name_of_partition_key="user_id",
            value_of_partition_key=st.session_state.user_id,
            #TODO 전체 보여줄 개수 설정
            limit_num=10
        )

    if not debate_history:
        st.info('There is no previous debate history', icon="ℹ️")

    print(debate_history)

    st.header("Debate History")

    num_history = len(debate_history)
    for i in range(num_history):
        with st.container():
            st.write(f"#### {i + 1}")
            st.write(f"Debate Thema : {debate_history[i]['debate_theme']}")
            st.write(f"Debate Topic : {debate_history[i]['debate_topic']}")
            st.write(f"Case 1 : {debate_history[i]['case1']}")
            st.write(f"Case 2 : {debate_history[i]['case2']}")
            st.write(f"Case 3 : {debate_history[i]['case3']}")
            st.write(f"Created at : {debate_history[i]['time_stamp']}")
            st.button(
                label='Continue this dabate',
                key=str(i),
                on_click=page_4_5_controller
            )
            st.write("_"*50)

    st.button(
        label=f'🚀 Start new debate',
        on_click=page_3_4_controller
    )

#########################################################
# Page 4
#########################################################
def page4():
    #########################################################
    # Tab 1 - Total Debate (토론 준비 -> 연습 -> 평가)
    #########################################################
    st.header("Total Debate")
    debate_themes = ['Education','Sports','Religion','Justice','Pandemic','Politics','Minority','etc']

    st.write("1. Select a debate theme")

    st.session_state.debate_theme = st.selectbox("Choose your debate theme", debate_themes)

    if st.session_state.debate_theme == 'Education':
        topic_list = [
            "THBT college entrance examinations should accept students only on the basis of their academic performance in secondary education.", 
            "THS a world where the government gives cash that individuals can use to freely select their academic preference (including but not limited to school of choice, private academies, and tutoring) instead of funding for public education.",
            "THW abolish all requirements and evaluation criteria in higher education (i.e., attendance, exams, assignments)."
            ]
    elif st.session_state.debate_theme == 'Sports':
        topic_list = [
            "THBT having star players for team sports do more harm than good to the team.",
            "THR the emphasis on winning a medal in the Olympics as a core symbol of success.",
            "THP a world where sports serves purely entertainment purposes even at the expense of fair play."
            ]
    elif st.session_state.debate_theme == 'Religion':
        topic_list = [
            "THW, as a religious group/leader, cease attempts at increasing the number of believers and instead prioritize boosting loyalty amongst adherents to the religion.",
            "Assuming feasibility, TH prefers a world where a panel of church leaders would create a universally accepted interpretation of the Bible that the believers would abide by.",
            "THW aggressively crackdown on megachurches."
            ]
    elif st.session_state.debate_theme == 'Justice':
        topic_list = [
            "In 2050, AI robots are able to replicate the appearance, conversation, and reaction to emotions of human beings. However, their intelligence still does not allow them to sense emotions and feelings such as pain, happiness, joy, and etc.",
            "In the case a human destroys the robot beyond repair, THW charge murder instead of property damage.",
            "THP a world where the criminal justice system’s role is mainly for victim’s vengeance. THW allow prosecutors and victims to veto assigned judges."
            ]
    elif st.session_state.debate_theme == 'Pandemic':
        topic_list = [
            "During a pandemic, THBT businesses that benefit from the pandemic should be additionally taxed.",
            "THW nullify the effect of medical patents in cases of medical emergencies.",
            "THW ban media content that denies the efficacy of the COVID-19 without substantial evidence."
            ]
    elif st.session_state.debate_theme == 'Politics':
        topic_list = [
            "Info: The Candle Light Will (촛불민심) is a term derived from the symbolic candle-light protests for the impeachment of the late president Park Geun Hye, commonly used to mean the people’s will to fight against corrupt governments. The Moon administration has frequently referred to the Candle Light Will as the driving force behind its election that grants legitimacy to its policies. THR the ‘candle light will’ narrative in the political discourse of South Korea.",
            "THW impose a cap on the property and income of politicians.",
            "THW give the youth extra votes."
            ]
    elif st.session_state.debate_theme == 'Minority':
        topic_list = [
            "Context: A prominent member of the LGBT movement has discovered that a very influential politician helping the LGBT movement has been lying about their sexual orientation as being gay when they are straight. THW disclose this information.",
            "THBT the LGBTQIA+ movement should denounce the existence of marriage as opposed to fighting for equal marriage rights.",
            "THBT the LGBTQIA+ movement should condemn the consumption of movies and TV shows that cast straight actors/actresses in non-heterosexual identified roles."
            ]
    else:
        topic_list = [
            "THW remove all laws that relate to filial responsibilities.",
            "THW require parents to receive approval from experts in relevant fields before making crucial decisions for their children.",
            "Assuming it is possible to measure the ‘societal danger’ of the fetus in the future, THBT the state should raise infants that pose high levels of threat.",
            "THBT any upper limits on prison sentences for particularly heinous crimes should be abolished.",
            "THW require dating apps to anonymize profile pictures.",
            "THW adopt a Pass/Fail grading system for students who suffer from mental health problems (e.g. depression, bipolar disorder, etc.).",
            "THBT South Korean feminist movements should reject feminist icons that are adversarial and embody violence.",
            "THBT freedom of speech should be considered obsolete.",
            "THR the narrative that eccentric personalities are essential to create art.",
            "THW allow parents of severely mentally disabled children to medically impede their children's physical growth.",
            "THR the emphasis on longevity in relationships.",
            "Assuming feasibility, THW choose to continuously relive the happiest moment of one’s life."
            ]

    st.write("2. Select a topic")
    st.session_state.topic = st.selectbox("Choose your topic", topic_list)

    st.write("3. Write 3 cases (Note that these are just a tool to help you structure your thoughts on the content and does not reflect the actual discussion.)")

    #########################################################
    # Case도 세션에 저장
    #########################################################
    st.session_state.case1 = st.text_area(
        label="Case 1",
        placeholder="Each case should be consisted of opinion, reasoning, and example.",
        height=100
        )
    st.session_state.case2 = st.text_area(
        label="Case 2",
        placeholder="Each case should be consisted of opinion, reasoning, and example.",
        height=100
    )
    st.session_state.case3 = st.text_area(
        label="Case 3",
        placeholder="Each case should be consisted of opinion, reasoning, and example.",
        height=100
    )
    case_error_message = st.empty()

    st.write("4. Choose your Side (Pros and Cons)")
    st.session_state.pros_and_cons = st.selectbox("Choose your Side", ["Pros", "Cons"])
    
    # Save the data to database
    start = st.button(
        label="Start Debate",
        on_click=put_item(
            table=dynamodb.Table('DEBO_debate_setting'),
            item={
                'user_id': st.session_state.user_id,
                'time_stamp': time_stamp,
                'debate_theme': st.session_state.debate_theme,
                'debate_topic': st.session_state.topic,
                'case1': st.session_state.case1,
                'case2': st.session_state.case2,
                'case3': st.session_state.case3,
                'session_num': st.session_state.session_num,
            }
            )
        )

    def validate_case(error_message):
        if not st.session_state.case1 or not st.session_state.case2 or not st.session_state.case3:
            case_error_message.error("Please fill out above all", icon="🚨")
            return False
        else:
            # st.session_state.case1 = st.session_statecase1
            # st.session_state.case2 = st.session_statecase2
            # st.session_state.case3 = st.session_statecase3
            return True

    if start:
        if validate_case(case_error_message):
            page_4_5_controller()
            st.experimental_rerun()

    #########################################################
    # Ask to GPT
    #########################################################
    with st.sidebar:
        st.sidebar.title('Ask to GPT')
        user_input = st.sidebar.text_area(
            label="Question", 
            placeholder="Input text here",
            height=100)
        output = st.sidebar.button("Ask")
        input_error_message = st.empty()
        if output:
            if not user_input:
                input_error_message.error("Please enter your question")
                result = ""
            else:
                result = gpt_call(user_input)

                # save user_prompt and bot_response to database
                put_item(
                    table=dynamodb.Table('DEBO_gpt_ask'),
                    item={
                        'user_id': st.session_state.user_id,
                        'time_stamp': time_stamp,
                        'user_prompt': user_input,
                        'bot_response': result,
                        'session_num': st.session_state.session_num,
                    }
                )

        else:
            result = ""

        st.sidebar.text_area(
            label="Answer", 
            placeholder="(Answer will be shown here)",
            value=result,
            height=400)

#########################################################
# Page5
#########################################################

# generate response
def generate_response(prompt):
    st.session_state['user_debate_history'].append(prompt)
    st.session_state['total_debate_history'].append({"role": "user", "content": prompt})
    response = gpt_call_context(st.session_state['total_debate_history'])
    st.session_state['bot_debate_history'].append(response)
    st.session_state['total_debate_history'].append({"role": "assistant", "content": response})
    return response

def execute_stt(audio):
    wav_file = open("audio/audio.wav", "wb")
    wav_file.write(audio.tobytes())
    wav_file.close()

    audio_file= open("audio/audio.wav", "rb")
    user_input = openai.Audio.transcribe("whisper-1", audio_file).text
    audio_file.close()
    return user_input

def page5():

    # time
    st.session_state.start_time = time.time()

    with st.sidebar:
        st.sidebar.title('Ask to GPT')
        user_input = st.sidebar.text_area(
            label="Question", 
            placeholder="Input text here",
            height=100)
        output = st.sidebar.button("Ask")
        input_error_message = st.empty()
        if output:
            if not user_input:
                input_error_message.error("Please enter your question")
                result = ""
            else:
                result = gpt_call(user_input)
                put_item(
                    table=dynamodb.Table('DEBO_gpt_ask'),
                    item={
                        'user_id': st.session_state.user_id,
                        'time_stamp': time_stamp,
                        'user_prompt': user_input,
                        'bot_response': result,
                        'session_num': st.session_state.session_num,
                    }
                )
        else:
            result = ""

        st.sidebar.text_area(
            label="Answer", 
            placeholder="(Answer will be shown here)",
            value=result,
            height=400)

    # default system prompt settings
    if not st.session_state['total_debate_history']:

        # bot role, pros and cons
        if st.session_state['pros_and_cons'] == "Pros":
            bot_role = "Con"
        else:
            bot_role = "Pros"

        debate_preset = "\n".join([
            "Debate Rules: ",
            "1) This debate will be divided into two teams, pro and con, with two debates on each team.",
            "2) The order of speaking is: first debater for the pro side, first debater for the con side, second debater for the pro side, second debater for the con side.",
            "3) Answer logically with an introduction, body, and conclusion.", #add this one.
            "4) Your role : " + bot_role + " side debator",
            "5) Debate subject: " + st.session_state['topic'],
        ])
        first_prompt = "Now we're going to start. Summarize the subject and your role. And ask user ready to begin."

        st.session_state['total_debate_history'] = [
            {"role": "system", "content": debate_preset}
        ]
        response = gpt_call(debate_preset + "\n" + first_prompt, role="system")
        st.session_state['total_debate_history'].append({"role": "assistant", "content": response})
        st.session_state['bot_debate_history'].append(response)

    # container for chat history
    response_container = st.container()
    # container for text box
    container = st.container()
    reload = False

    with container:
        with st.form(key='my_form', clear_on_submit=True):
            user_input = None
            # record voice
            audio = audiorecorder("Click to record", "Recording...")
            if np.array_equal(st.session_state['pre_audio'], audio):
                audio = np.array([])

            #user_input = st.text_area("You:", key='input', height=100)
            submit_buttom = st.form_submit_button(label='Send')
            send_error_message = st.empty()
        
        #if submit_buttom and user_input:
        if submit_buttom:
            if audio.any():
                user_input = execute_stt(audio)
                response = generate_response(user_input)
                st.session_state['pre_audio'] = audio

                debate_main_latest_data = get_lastest_item(
                    table=dynamodb.Table('DEBO_debate_main'),
                    name_of_partition_key="user_id",
                    value_of_partition_key=st.session_state.user_id,
                    limit_num=1
                )

                print(f'debate_main_latest_data : {debate_main_latest_data}')
                if not debate_main_latest_data:
                    turn_num = 0
                else:
                    turn_num = debate_main_latest_data[0]['turn_num']

                put_item(
                    table=dynamodb.Table('DEBO_debate_main'),
                    item={
                        'user_id': st.session_state.user_id,
                        'time_stamp': time_stamp,
                        'session_num': st.session_state.session_num,
                        'bot_response': response,
                        'user_prompt': user_input,
                        'turn_num': turn_num,
                    }
                )

            else:
                send_error_message.error("Please record your voice first", icon="🚨")
                reload = True
                print("Nothing to transcribe")

    #TODO 사용자 input이 없을 때도 reloading으로 buffering 걸리는 문제 해결
    with response_container:
        message(st.session_state['bot_debate_history'][0], key='0_bot')
        if len(st.session_state['bot_debate_history']) == 1:
            text_to_speech = gTTS(text=st.session_state['bot_debate_history'][0], lang='en', slow=False)
            text_to_speech.save(f"audio/bot_{st.session_state['session_num']}_res_0.mp3")
        
        audio_file = open(f"audio/bot_{st.session_state['session_num']}_res_0.mp3", 'rb')
        audio_bytes = audio_file.read()
        st.audio(audio_bytes, format='audio/ogg')

        for i in range(len(st.session_state['user_debate_history'])):
            message(st.session_state['user_debate_history'][i], is_user=True, key=str(i)+'_user')
            message(st.session_state['bot_debate_history'][i + 1], key=str(i + 1)+'_bot')
            if i == len(st.session_state['bot_debate_history']) - 2 and not reload:
                text_to_speech = gTTS(text=st.session_state['bot_debate_history'][i + 1], lang='en', slow=False)
                text_to_speech.save(f"audio/bot_{st.session_state['session_num']}_res_{str(i + 1)}.mp3")
            audio_file = open(f"audio/bot_{st.session_state['session_num']}_res_{str(i + 1)}.mp3", 'rb')
            audio_bytes = audio_file.read()
            st.audio(audio_bytes, format='audio/ogg')
        reload = False

    if st.button(label="Next",
                 on_click=page_5_6_controller):
        st.write('Information submitted successfully.')

print("#"*80)
pprint.pprint(st.session_state.to_dict())
print("#"*80)

#########################################################
# Page5 - Total Debate Evaluation
#########################################################
def page6():

    # end time
    st.session_state.end_time = time.time()
    st.session_state.debate_time = st.session_state.end_time - st.session_state.start_time

    # st.tab
    st.header('Total Debate Evaluation')

    st.write('Note that evaluation using GPT is an experimental feature. Please check it out and give us your feedback.')

    tab1, tab2 = st.tabs(['Debate Evaluation', 'Debate Analysis'])

    with tab1:
        st.header("Debate Evaluation")
        
        debate_themes = ['User-Bot', "User", "Bot"]

        # 전체, 유저, 봇 세 가지 옵션 중에 선택
        judgement_who = st.selectbox("Choose your debate theme", debate_themes)

        with st.spinner('Wait for judgement result...'):
            judgement_result = ""

            user_debate_history = "".join(
                st.session_state.user_debate_history
            )
            bot_debate_history = "".join(
                st.session_state.bot_debate_history
            )

            judgement_result = debate_judgement(
                judgement_who, 
                user_debate_history, 
                bot_debate_history
                )

            st.write("Debate Judgement Result")
            st.write(judgement_result)

            if judgement_result != "":
                put_item(
                    table=dynamodb.Table('DEBO_evaluation'),
                    item={
                        'user_id': st.session_state.user_id,
                        'time_stamp': time_stamp,
                        'judgement_text': judgement_result,
                        'session_num': st.session_state.session_num,
                    }
                )

        st.success('Done!')

    with tab2:
        st.header('Debate Analysis')

        # 유저의 history를 기반으로 발화량, 빈출 단어, 발화 습관 세 가지를 분석
        user_history = st.session_state.user_debate_history

        # 1. 발화량: 총 단어, 평균 속도(단어/시간)를 평균 발화량 혹은 참고 지표와 비교해 제시

        # 총 단어
        # 텍스트를 단어로 분할합니다.
        # 각 단어의 빈도를 계산합니다.
        total_word_count = len(user_history)
        #total_word_count = len(user_history.split())
        st.write("Total Word Count: ", total_word_count)

        # 평균 속도(단어/시간)
        #user_debate_time = st.session_state.user_debate_time
        average_word_per_time = total_word_count / st.session_state.debate_time # 시간 단위보고 나중에 수정하기
        st.write("Average Word Per Time: ", average_word_per_time)

        # 2. 빈출 단어: 반복해서 사용하는 단어 리스트
        # 빈도 계산
        frequency = Counter(user_history)
        # 가장 빈도가 높은 데이터 출력
        most_common_data = frequency.most_common(10)
        print(most_common_data)
        st.write("Most Common Words: ", most_common_data)

        # 3. 발화 습관: 불필요한 언어습관(아, 음)
        # whisper preprocesser에서 주면
        disfluency_word_list = ['eh', 'umm', 'ah', 'uh', 'er', 'erm', 'err']
        # Count the disfluency words
        disfluency_counts = sum(user_word in disfluency_word_list for user_word in user_history)
        st.write("Disfluency Counts: ", disfluency_counts)

        if total_word_count != "" and average_word_per_time != "" and disfluency_counts != "":
                
                print("user_id", type(st.session_state.user_id))
                print("time_stamp", type(time_stamp))
                print("total_word_count", type(total_word_count))
                print("average_word_per_time", type(average_word_per_time))
                print("disfluency_counts", type(disfluency_counts))
                print("session_num", type(st.session_state.session_num))

                put_item(
                    table=dynamodb.Table('DEBO_debate_analysis'),
                    item={
                        'user_id': st.session_state.user_id,
                        'time_stamp': time_stamp,
                        'total_word_count': total_word_count,
                        'average_word_per_time': Decimal(str(average_word_per_time)),
                        'disfluency_counts': disfluency_counts,
                        'session_num': int(st.session_state.session_num),
                    }
                )

        # 유저와 봇의 대화 데이터가 세션에 남아있음
        # st.session_state.debate_history
    

#########################################################
# Page6
#########################################################

def page7():

    # end time
    st.session_state.end_time = time.time()
    st.session_state.debate_time = st.session_state.end_time - st.session_state.start_time

    # st.tab
    st.header('Total Debate Evaluation')

    tab1, tab2 = st.tabs(['Debate Judgement', 'Debate Analysis'])

    with tab1:
        st.header("Debate Evaluation")
        
        debate_themes = ['User-Bot', "User", "Bot"]

        # 전체, 유저, 봇 세 가지 옵션 중에 선택
        judgement_who = st.selectbox("Choose your debate theme", debate_themes)

        judgement_result = ""
        if judgement_result == "":
            st.write("Wait for judgement result...")

        user_debate_history = "".join(
            st.session_state.user_debate_history
        )
        bot_debate_history = "".join(
            st.session_state.bot_debate_history
        )

        judgement_result = debate_judgement(
            judgement_who, 
            user_debate_history, 
            bot_debate_history
            )
        
        if judgement_result != "":
                put_item(
                    table=dynamodb.Table('DEBO_evaluation'),
                    item={
                        'user_id': st.session_state.user_id,
                        'time_stamp': time_stamp,
                        'judgement_text': judgement_result,
                        'session_num': st.session_state.session_num,
                    }
                )

        st.write("Debate Judgement Result")
        st.write(judgement_result)

    with tab2:
        st.header('Debate Analysis')

        # 유저의 history를 기반으로 발화량, 빈출 단어, 발화 습관 세 가지를 분석
        user_history = st.session_state.user_debate_history

        # 1. 발화량: 총 단어, 평균 속도(단어/시간)를 평균 발화량 혹은 참고 지표와 비교해 제시

        # 총 단어
        # 텍스트를 단어로 분할합니다.
        # 각 단어의 빈도를 계산합니다.
        total_word_count = len(user_history)
        #total_word_count = len(user_history.split())
        st.write("Total Word Count: ", total_word_count)

        # 평균 속도(단어/시간)
        #user_debate_time = st.session_state.user_debate_time
        average_word_per_time = total_word_count / st.session_state.debate_time # 시간 단위보고 나중에 수정하기
        st.write("Average Word Per Time: ", average_word_per_time)

        # 2. 빈출 단어: 반복해서 사용하는 단어 리스트
        # 빈도 계산
        frequency = Counter(user_history)
        # 가장 빈도가 높은 데이터 출력
        most_common_data = frequency.most_common(10)
        print(most_common_data)
        st.write("Most Common Words: ", most_common_data)

        # 3. 발화 습관: 불필요한 언어습관(아, 음)
        # whisper preprocesser에서 주면
        disfluency_word_list = ['eh', 'umm', 'ah', 'uh', 'er', 'erm', 'err']
        # Count the disfluency words
        disfluency_counts = sum(user_word in disfluency_word_list for user_word in user_history)
        st.write("Disfluency Counts: ", disfluency_counts)

        if total_word_count != "" and average_word_per_time != "" and disfluency_counts != "":
                put_item(
                    table=dynamodb.Table('DEBO_evaluation'),
                    item={
                        'user_id': st.session_state.user_id,
                        'time_stamp': time_stamp,
                        'total_word_count': total_word_count,
                        'average_word_per_time': average_word_per_time,
                        'disfluency_counts': disfluency_counts,
                        'session_num': st.session_state.session_num,
                    }
                )

        # 유저와 봇의 대화 데이터가 세션에 남아있음
        # st.session_state.debate_history

    ############################################
    # Visualization
    ############################################

    # 이전에 기록된 값이 있다면, 그래프를 그립니다.
    # 이전에 기록된 값이 없다면, 그래프를 그리지 않습니다.


#########################################################
# Page Routing
#########################################################
pages = {
    "Page 1": page1, # user_id와 openai_key를 입력받는 페이지
    "Page 2": page2, # 원하는 기능을 선택하는 페이지
    "Page 3": page3,
    "Page 4": page4, # Total Debate
    "Page 5": page5, # Evaluation Only
    "Page 6": page6, # Analyzing Utterances
    "Page 7": page7,
}

selection = st.session_state.page
print("selection:", selection)

page = pages[selection]
# Execute selected page function
page()